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Modeling and Simulation of Carbon Emission Related Issues

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Carbon emissions reached an all-time high in 2018, when global carbon dioxide emissions
from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we
need to pay special attention to carbon emissions and work out possible solutions if we still
want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon
emissions-related papers (including 5 that are carbon tax-related) and 4 energy-related papers using
various methods or models, such as the input–output model, decoupling analysis, life cycle impact
analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting
model, three-indicator allocation model, mathematical programming, real options model, multiple
linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United
States. These researches involved various industries such as agricultural industry, transportation
industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry,
and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides
abundant material for implementing energy conservation and carbon emissions reduction. However,
there are still many issues regarding the problems caused by global warming that require research.
Finally, I am grateful to MDPI for the invitation to act as the Guest Editor of this Special Issue and I
am indebted to the editorial office of Energies for the kind cooperation, patience, and committed
engagement. I would like to thank the authors for submitting their excellent contributions to this
Special Issue. My thanks are extended to the reviewers for evaluating the manuscripts and providing
helpful suggestions. Sincere thanks also go to the editorial team of MDPI and Energies for providing
the opportunity to publish this book and helping in all possible ways.

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Detail Information

Series Title

-

Call Number

530 MOD

Publisher

Basel : MDPI - Multidisciplinary Digital Publishing Institute., 2019

Collation

-

Language

English

ISBN/ISSN

978-3-03921-312-2

Classification

530

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Economics

Specific Detail Info

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Statement of Responsibility

Penyunting, Wen-Hsien Tsai

Other Information

Cataloger

Khusnun

Source

-

Validator

maya

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